Comparison of Camera and Radar as Support for Positioning on digital Maps

Modern driver assistance systems can detect objects like pedestrians, vehicles or other obstacles even at long distances ahead of the vehicle. To decide whether detected objects are within the driving path or not, the road course has to be known at long distances. Integrating digital maps as an additional sensor can solve this problem but the main challenge is to enable accurate vehicle positioning. For precise positioning, this work builds a local map of measurements originating from an additional sensor. In that context, a long range radar sensor and a monocular camera are used. Both sensors are compared with regard to the positioning accuracy.